10 Classic Algorithms and Methods of Data Science

Discover key concepts for more than 10 classic algorithms and methods, including: • A / B Test • Detection of anomalies • Rules of Association • Clustering • Decision trees and random forests • Regression Analysis • Analysis of social networks • Neural networks To help you revisit what you've learned, we've also included: • Cheat sheets comparing pros and cons of algorithms • Summary of the final chapters • List of glossaries of commonly used terms What is this book for? You! This is a great opportunity to learn more about data science , technology and technology. Why should I be interested in data science? You saw how the data revolutionized the way we live and work. Google uses it to generate queries and queries. Recently, data science algorithms were also used to boost the development of digital personal assistants and standalone vehicles. Understanding how these algorithms work is crucial to assessing our potential impact on our future...